Files
ai-resume/corpus/tests/test_chunker.py
Sam Rolfe f9dc574172 Phase 4: corpus and retrieval — chunks, Qdrant, FTS5, freshness audit
Satisfies docs/phase-4-corpus.md. content/ stays the single source of truth:
one pass over it writes both indexes, so the static pages and the retrieval
corpus cannot drift.

- corpus/: stdlib-only pipeline. validate -> chunk -> enrich -> embed -> upsert.
  Chunking is block-based, so a boundary cannot fall inside a fenced block, a
  table or front-matter (verified structurally, not by inspection).
- Deterministic ids: sha256(source_path + chunk_index + content_hash), rendered
  as a UUID. Re-running updates points; re-chunking deletes the old ones by
  source filter, so duplicates and orphans are both impossible.
- Incremental by content hash against a SQLite manifest. A provider, dimension
  or chunker change is refused instead of mixed: it needs a rebuild.
- Payloads per section 4.2 plus provenance, validated before any vector is
  written; a missing field fails the run and names the document and chunk.
- SQLite FTS5 over chunks (the keyword half of hybrid retrieval, decision D10)
  with area/confidence filters and a `terms` column so front-matter tech and
  tags are findable.
- Freshness audit: stale documents, due soon, index drift, contract drift;
  optional Apprise alert; exit code for Prefect.
- Embeddings behind one interface: omniroute (OpenAI-compatible, retries, key
  from the environment only) and local-hashing (offline placeholder). The
  provider decision is still Sam's; the pipeline does not depend on it.
- deploy/qdrant.yml: mem_limit = memswap_limit = 400m, loopback only.
- docs/phase-4-notes.md: operator manual, DoD evidence, measured memory.
- 76 unit tests, no container and no network.

Measured, Qdrant 1.20.0 under a 400 m cap at 1024 dimensions: 500 / 5,000 /
20,000 chunks settle at 128 / 138 / 151 MiB, peaking at 149 / 305 / 292 MiB
during ingest. Qdrant's default settings are OOM-killed between 5,000 and
20,000, so the collection is created with HNSW and payloads on disk; recorded in
reference/stack.md with the ceiling and the escalation order.

Note: the `make corpus*` targets were swept into the Phase 3 deploy commit
24590cc by concurrent work in this tree; the Makefile content is correct, and
this commit contains the pipeline they call.

Co-Authored-By: Paperclip <noreply@paperclip.ing>
2026-10-26 21:04:52 +11:00

146 lines
6.2 KiB
Python

"""Chunking rules: size, overlap, determinism, and the hard one — no split inside
a fence, a table or front-matter (docs/phase-4-corpus.md DoD item 3)."""
from __future__ import annotations
import os
import unittest
from corpus import chunker, loader
from corpus.config import Config
from corpus.tests import support
REPO_ROOT = support.REPO_ROOT
def content_documents():
cfg = Config.from_env(root=REPO_ROOT, provider="local-hashing", dim=32)
return loader.load_documents(cfg)
class BlockParsingTest(unittest.TestCase):
def test_fence_is_one_block(self):
blocks = chunker.parse_blocks(support.FENCE)
kinds = [block.kind for block in blocks]
self.assertEqual(kinds, ["para", "fence", "para"])
self.assertIn("chunk boundary must never land", blocks[1].text)
def test_table_is_one_block(self):
blocks = chunker.parse_blocks(support.TABLE)
table = [block for block in blocks if block.kind == "table"]
self.assertEqual(len(table), 1)
self.assertEqual(len(table[0].text.splitlines()), 5) # header, rule, 3 rows
def test_front_matter_in_body_is_refused(self):
with self.assertRaises(chunker.ChunkError):
chunker.parse_blocks("---\nid: x\n---\n\n# Heading\n")
def test_unterminated_fence_runs_to_end(self):
blocks = chunker.parse_blocks("intro\n\n```go\nfunc main() {}\n")
self.assertEqual(blocks[-1].kind, "fence")
self.assertTrue(blocks[-1].text.rstrip().endswith("}"))
def test_headings_start_blocks(self):
blocks = chunker.parse_blocks("# One\n\ntext\n\n## Two\n\nmore\n")
self.assertEqual([block.kind for block in blocks], ["heading", "para", "heading", "para"])
def test_list_items_are_separate_blocks(self):
blocks = chunker.parse_blocks("- one\n- two\n continued\n- three\n")
self.assertEqual([block.kind for block in blocks], ["list", "list", "list"])
self.assertIn("continued", blocks[1].text)
class ChunkingTest(unittest.TestCase):
def test_small_body_is_one_chunk(self):
chunks = chunker.chunk_document("# Title\n\nA short body.\n")
self.assertEqual(len(chunks), 1)
self.assertEqual(chunks[0].index, 0)
self.assertFalse(chunks[0].oversize)
def test_long_body_respects_maximum_and_overlaps(self):
chunks = chunker.chunk_document(support.PROSE)
self.assertGreater(len(chunks), 1)
for chunk in chunks:
self.assertLessEqual(chunk.tokens, chunker.TOKEN_MAX, f"chunk {chunk.index} too large")
# Overlap: consecutive chunks share at least one block.
for previous, current in zip(chunks, chunks[1:]):
self.assertTrue(
set(id(block) for block in previous.blocks) & set(id(block) for block in current.blocks),
f"chunks {previous.index} and {current.index} do not overlap",
)
def test_chunk_indices_are_sequential(self):
chunks = chunker.chunk_document(support.PROSE)
self.assertEqual([chunk.index for chunk in chunks], list(range(len(chunks))))
def test_deterministic(self):
first = chunker.chunk_document(support.PROSE)
second = chunker.chunk_document(support.PROSE)
self.assertEqual([chunk.text for chunk in first], [chunk.text for chunk in second])
def test_code_fence_is_never_split(self):
body = support.PROSE + "\n\n" + support.FENCE + "\n\n" + support.PROSE
chunks = chunker.chunk_document(body)
fences = [block for block in chunker.parse_blocks(body) if block.kind == "fence"]
self.assertTrue(fences)
for fence in fences:
holders = [chunk for chunk in chunks if fence in chunk.blocks]
self.assertTrue(holders, "the fenced block disappeared from every chunk")
for holder in holders:
self.assertIn(fence.text, holder.text, "a chunk holds part of a fenced block")
def test_oversize_single_block_is_flagged_not_split(self):
huge = "```go\n" + "\n".join(f"line{i} := {i}" for i in range(1200)) + "\n```\n"
chunks = chunker.chunk_document(huge)
self.assertEqual(len(chunks), 1)
self.assertTrue(chunks[0].oversize)
self.assertGreater(chunks[0].tokens, chunker.TOKEN_MAX)
class RealContentTest(unittest.TestCase):
"""The same rules, over every document in content/."""
def test_no_boundary_splits_a_protected_region(self):
for doc in content_documents():
regions = chunker.protected_regions(doc.body)
chunks = chunker.chunk_document(doc.body)
chunker.verify_no_split(chunks, regions) # raises on failure
def test_every_chunk_is_whole_blocks(self):
for doc in content_documents():
expected = [block.text for block in chunker.parse_blocks(doc.body)]
seen = []
for chunk in chunker.chunk_document(doc.body):
for block in chunk.blocks:
self.assertIn(block.text, chunk.text)
if not seen or seen[-1] != block.text:
seen.append(block.text)
# Every block appears, in order, exactly as parsed (overlap repeats a
# block at the start of the next chunk, which is expected).
position = 0
for text in expected:
while position < len(seen) and seen[position] != text:
position += 1
self.assertLess(position, len(seen), f"{doc.path}: block was dropped: {text[:40]!r}")
position += 1
def test_chunks_are_within_the_size_band(self):
for doc in content_documents():
for chunk in chunker.chunk_document(doc.body):
if chunk.oversize:
self.assertEqual(len(chunk.blocks), 1)
continue
self.assertLessEqual(chunk.tokens, chunker.TOKEN_MAX, f"{doc.path} chunk {chunk.index}")
def test_content_tree_is_chunked_completely(self):
total = 0
for doc in content_documents():
chunks = chunker.chunk_document(doc.body)
self.assertTrue(chunks, f"{doc.path}: no chunks")
total += len(chunks)
self.assertGreater(total, 0)
if __name__ == "__main__":
unittest.main()